Frank Scharnowski

6.0k total citations · 1 hit paper
82 papers, 3.5k citations indexed

About

Frank Scharnowski is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Frank Scharnowski has authored 82 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Cognitive Neuroscience, 12 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Frank Scharnowski's work include Functional Brain Connectivity Studies (47 papers), Neural dynamics and brain function (28 papers) and Neural and Behavioral Psychology Studies (20 papers). Frank Scharnowski is often cited by papers focused on Functional Brain Connectivity Studies (47 papers), Neural dynamics and brain function (28 papers) and Neural and Behavioral Psychology Studies (20 papers). Frank Scharnowski collaborates with scholars based in Switzerland, Austria and Germany. Frank Scharnowski's co-authors include Nikolaus Weiskopf, Niels Birbaumer, Rainer Goebel, Michael H. Herzog, Ranganatha Sitaram, Klaus Mathiak, Ralf Veit, Sven Haller, Thomas Kammer and James Sulzer and has published in prestigious journals such as Journal of Neuroscience, Nature reviews. Neuroscience and PLoS ONE.

In The Last Decade

Frank Scharnowski

76 papers receiving 3.5k citations

Hit Papers

Closed-loop brain training: the science of neurofeedback 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frank Scharnowski Switzerland 24 3.0k 473 449 375 355 82 3.5k
René J. Huster Norway 34 3.7k 1.2× 651 1.4× 378 0.8× 289 0.8× 279 0.8× 78 4.4k
Ryouhei Ishii Japan 32 2.6k 0.9× 325 0.7× 309 0.7× 347 0.9× 289 0.8× 148 3.9k
Seiki Konishi Japan 32 3.6k 1.2× 491 1.0× 426 0.9× 327 0.9× 152 0.4× 80 4.4k
Christos Papadelis United States 30 2.0k 0.7× 748 1.6× 402 0.9× 313 0.8× 280 0.8× 113 3.4k
Xu Lei China 31 2.5k 0.9× 980 2.1× 413 0.9× 218 0.6× 232 0.7× 172 3.2k
Bettina Sorger Netherlands 28 2.6k 0.9× 559 1.2× 414 0.9× 194 0.5× 150 0.4× 75 3.0k
Douglas D. Garrett Germany 31 2.9k 1.0× 472 1.0× 622 1.4× 283 0.8× 337 0.9× 53 3.5k
Martin M. Monti United States 36 3.2k 1.1× 519 1.1× 778 1.7× 315 0.8× 183 0.5× 99 5.4k
Filippo Carducci Italy 39 3.4k 1.1× 233 0.5× 592 1.3× 427 1.1× 183 0.5× 97 4.3k
Guilherme Wood Austria 36 2.2k 0.7× 570 1.2× 215 0.5× 126 0.3× 276 0.8× 149 4.1k

Countries citing papers authored by Frank Scharnowski

Since Specialization
Citations

This map shows the geographic impact of Frank Scharnowski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Frank Scharnowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Scharnowski more than expected).

Fields of papers citing papers by Frank Scharnowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Scharnowski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Frank Scharnowski. The network helps show where Frank Scharnowski may publish in the future.

Co-authorship network of co-authors of Frank Scharnowski

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Scharnowski. A scholar is included among the top collaborators of Frank Scharnowski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frank Scharnowski. Frank Scharnowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nguyen, Trinh, Yafeng Pan, David Steyrl, et al.. (2025). Investigating short windows of interbrain synchrony: A step toward fNIRS-based hyperfeedback. Imaging Neuroscience. 3. 1 indexed citations
2.
Pamplona, Gustavo Santo Pedro, Jana Zweerings, Lydia Hellrung, et al.. (2025). Neural Mechanisms of Feedback Processing and Regulation Recalibration During Neurofeedback Training. Human Brain Mapping. 46(10). e70279–e70279.
3.
Lanius, Ruth A., Jean Théberge, Benício N. Frey, et al.. (2025). Study protocol for a multi-session randomized sham-controlled trial of PCC- and amygdala-targeted neurofeedback for the treatment of PTSD. BMC Psychiatry. 25(1). 698–698.
4.
Stämpfli, Philipp, Patrik Vuilleumier, Sascha Frühholz, et al.. (2024). Enhanced attention-related alertness following right anterior insular cortex neurofeedback training. iScience. 27(2). 108915–108915. 3 indexed citations
5.
Leder, Helmut, et al.. (2024). Using machine learning to predict judgments on Western visual art along content-representational and formal-perceptual attributes. PLoS ONE. 19(9). e0304285–e0304285. 4 indexed citations
6.
Langner, Robert, Frank Scharnowski, Silvio Ionta, et al.. (2023). Evaluation of the reliability and validity of computerized tests of attention. PLoS ONE. 18(1). e0281196–e0281196. 6 indexed citations
7.
Pamplona, Gustavo Santo Pedro, Robert Langner, Yury Koush, et al.. (2023). Preliminary findings on long‐term effects of fMRI neurofeedback training on functional networks involved in sustained attention. Brain and Behavior. 13(10). e3217–e3217. 7 indexed citations
8.
Haugg, Amelie, et al.. (2022). Thalamic volume and functional connectivity are associated with nicotine dependence severity and craving. Addiction Biology. 28(1). e13261–e13261. 6 indexed citations
9.
Haugg, Amelie, Andrei Manoliu, Ronald Sladky, et al.. (2021). Disentangling craving‐ and valence‐related brain responses to smoking cues in individuals with nicotine use disorder. Addiction Biology. 27(1). e13083–e13083. 10 indexed citations
10.
Pamplona, Gustavo Santo Pedro, et al.. (2020). Personode: A Toolbox for ICA Map Classification and Individualized ROI Definition. Neuroinformatics. 18(3). 339–349. 7 indexed citations
11.
Pamplona, Gustavo Santo Pedro, Robert Langner, Yury Koush, et al.. (2020). Network-based fMRI-neurofeedback training of sustained attention. NeuroImage. 221. 117194–117194. 43 indexed citations
12.
Kopel, Rotem, Ronald Sladky, Yury Koush, et al.. (2019). No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI. NeuroImage. 191. 421–429. 13 indexed citations
13.
Koush, Yury, John Ashburner, Ronald Sladky, et al.. (2017). Real-time fMRI data for testing OpenNFT functionality. Data in Brief. 14. 344–347. 11 indexed citations
14.
Robineau, Fabien, Djalel Eddine Meskaldji, Yury Koush, et al.. (2017). Maintenance of Voluntary Self-regulation Learned through Real-Time fMRI Neurofeedback. Frontiers in Human Neuroscience. 11. 131–131. 23 indexed citations
15.
Koush, Yury, Swann Pichon, Gwladys Rey, et al.. (2015). Learning Control Over Emotion Networks Through Connectivity-Based Neurofeedback. Cerebral Cortex. 27(2). bhv311–bhv311. 116 indexed citations
16.
Ridgway, Gerard R., et al.. (2013). Altered perceptual bistability in binocular rivalry through neurofeedback training of high order visual areas. Journal of Vision. 13(9). 938–938. 1 indexed citations
17.
Sulzer, James, Sven Haller, Frank Scharnowski, et al.. (2013). Real-time fMRI neurofeedback: Progress and challenges. NeuroImage. 76. 386–399. 338 indexed citations
18.
Scharnowski, Frank, Chloe Hutton, O. Josephs, Nikolaus Weiskopf, & Geraint Rees. (2010). Manipulating visual perception with real-time fMRI-based neurofeedback training. UCL Discovery (University College London). 1 indexed citations
19.
Hermens, Frouke, Frank Scharnowski, & Michael H. Herzog. (2010). Automatic grouping of regular structures. Journal of Vision. 10(8). 5–5. 7 indexed citations
20.
Kammer, Thomas, Frank Scharnowski, & Michael H. Herzog. (2003). Combining backward masking and transcranial magnetic stimulation in human observers. Neuroscience Letters. 343(3). 171–174. 15 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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